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Oracle Down 34% in 2026 as $90 Billion AI Build-Out Splits Investors

Oracle stock has fallen 34% to $127.17 in 2026 as negative free cash flow of $23.69 billion collides with a record AI cloud backlog. Analysts still see $235.77.

Oracle Is Down 34% in 2026: Is ORCL Stock Dead Money or Due for a Bounce?
Oracle Is Down 34% in 2026: Is ORCL Stock Dead Money or Due for a Bounce?AI-generated
By Rebecca Stone4 min read

Why it matters

  • Oracle stock is down 34% year to date in 2026 to $127.17, after trading as high as $248.46 over 52 weeks.
  • Oracle reported fiscal 2026 free cash flow of negative $23.69 billion on $55.66 billion in capital spending.
  • Q1 FY2027 revenue rose 29.6% to $19.34 billion, with cloud infrastructure revenue up 121%.
  • CFO Hilary Barbara Maxson said Oracle expects about half of its RPO backlog to convert to sales within 36 months.
  • Oracle guides Q2 FY2027 revenue growth of 30% to 34% and adjusted EPS of $1.85 to $1.93.

Oracle (NYSE:ORCL) stock is down 34% in 2026 to $127.17, turning one of the loudest AI winners of the past two years into the debate's most prominent casualty. The decline spans a 52-week range of $248.46 at the high and $109.21 at the low. In afternoon trading the shares slipped another 0.9% from the prior close.

The fall matters beyond one ticker. Oracle has become the test case for whether the AI data center build-out pays for itself, and its stock now trades as a referendum on that question across the infrastructure sector.

How did Oracle become 2026's AI laggard?

The fiscal 2026 results, released June 10, set the cautious tone. Oracle reported full-year free cash flow of negative $23.69 billion on capital spending of $55.66 billion, and the stock slipped after the report.

A stronger quarter on September 10 did not change the narrative. In Q1 FY2027, Oracle's revenue rose 29.6% year over year to $19.34 billion, and cloud infrastructure revenue jumped 121%. Adjusted earnings per share of $1.92 beat the $1.74 consensus. Behind that growth, capital spending reached $28.50 billion, leaving free cash flow at negative $5.40 billion for the quarter. Oracle gave up an early post-earnings pop as financing concerns weighed on the shares.

The pattern is consistent: record revenue growth, record spending, negative cash. Investors who once rewarded the AI capacity build now price the cost of funding it.

What do Microsoft and CoreWeave show about Oracle's position?

Two competitors frame the risk. Microsoft (NASDAQ:MSFT) stock is up 9% year to date to $523.42, cutting against Oracle's slide. Azure, Microsoft 365, Windows, Xbox and LinkedIn give Microsoft several cash generators, and its free cash flow stays positive despite heavy AI spending.

CoreWeave (NASDAQ:CRWV) stock is down 21% year to date to $56.24, a sign of how broadly investors have soured on AI infrastructure. As a pure-play AI cloud, CoreWeave leases graphics processing unit capacity to AI labs, hyperscalers and enterprises. That model pairs explosive growth with heavy debt and deeply negative free cash flow.

Oracle sits between the two. Mature database and applications software still generates steady support revenue, while Oracle Cloud Infrastructure demands the same capital intensity as CoreWeave's business. Compared with Microsoft, Oracle has far fewer business lines to absorb that spending. That structural squeeze, more than any single earnings report, explains the 34% decline.

What supports the bull case?

Bulls point first to Oracle's contracted backlog of AI cloud commitments, reported as remaining performance obligations. Chief financial officer Hilary Barbara Maxson said on the September 10 call that Oracle expects "around half of our RPO to convert into sales over the next 36 months." That schedule, if met, turns paper commitments into revenue through fiscal 2029.

Valuation adds a second argument. After the selloff, Oracle trades at a forward price-to-earnings ratio of 14x, a discount the bulls read as pricing in worst-case outcomes.

Wall Street leans firmly positive:

  • Consensus price target of $235.77, roughly 85% above the current price.
  • 7 Strong Buy and 28 Buy ratings against 7 Holds.
  • Management guidance for fiscal 2027 adjusted EPS of $8.10, with analysts' average fiscal 2028 estimate sitting higher.

What drives the bear case?

The bears focus on what the build-out costs. Oracle expects full-year capital spending of $90 billion to $95 billion, much of it funded with debt and new equity, which raises balance-sheet risk.

That spending also flows straight to the power, cooling and networking suppliers behind every data center, a supply chain now capturing a growing share of Oracle's budget.

Rising interest costs are already visible. Interest expense rose 55% to $1.4 billion in Q1.

Backlog converts into profit only if customers pay and Oracle brings capacity online on time. Some of its biggest AI customers burn cash themselves, a concentration risk the bears emphasize.

Volatility compounds the case. Oracle carries a beta of 1.778, meaning the stock has historically moved more sharply than the broader market. One analyst rates Oracle a Sell, a lone dissent among the analysts covering the stock.

Can the next earnings report settle it?

Oracle has guided for Q2 FY2027 revenue growth of 30% to 34% and adjusted EPS of $1.85 to $1.93. The next test is whether cloud infrastructure growth keeps accelerating as more backlog turns into revenue.

A second test is free cash flow. New capacity is ramping, and management has not given a time frame for turning cash flow positive. Until it does, every quarter of $20 billion-plus capital spending extends the financing question.

Investors should watch for any update on how Oracle funds the build-out, including customer prepayments and bring-your-own-hardware deals. Strong answers could support the bounce case. Another quarter of heavy spending would reinforce the dead money view. The debate over Oracle's AI spending, not the broader AI trade, will set the stock's direction.

Source: 247wallst.com

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Rebecca Stone

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Correspondent covering companies, deals and strategy in artificial intelligence and machine learning at AI In Context.

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